• DocumentCode
    3678634
  • Title

    Binary kernel matrices of maximum exponents of polar codes of dimensions up to sixteen

  • Author

    Hsien-Ping Lin;Shu Lin;Khaled Abdel-Ghaffar

  • Author_Institution
    Department of Electrical and Computer Engineering, University of California, Davis, 95616, USA
  • fYear
    2015
  • Firstpage
    84
  • Lastpage
    89
  • Abstract
    The pioneering work of Arikan on polar codes is based on a kernel matrix of dimension two and exponent 0.5. To achieve larger exponent in order to improve performance, kernel matrices of larger dimensions are considered. In this paper, constructions of binary kernel matrices of dimensions up to 16 with maximum exponents are presented. The results show that the minimum dimension for which there exists a kernel matrix with exponent greater than 0.5, i.e., exceeds the exponent of the kernel matrix proposed by Arikan, is 15.
  • Keywords
    "Kernel","Decoding","Hamming distance","Standards","Upper bound","Linear programming","Symmetric matrices"
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop (ITA), 2015
  • Type

    conf

  • DOI
    10.1109/ITA.2015.7308970
  • Filename
    7308970